ArticleBMC bioinformatics2020
oposSOM-Browser: an interactive tool to explore omics data landscapes in health science.
Article in BMC bioinformatics, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
14 citing papers in PubMed.
- A topological map of the genetic components of grapevine-Admixture meets SOMmelier machine learning.PLoS computational biology · 2026Article
- Annual transcriptomic trajectory of grapevine buds reveals the coordinated regulation of thiamine and stilbenoid biosynthesis during winter dormancy.BMC plant biology · 2026Article
- A Spatial Transcriptomics Browser for Discovering Gene Expression Landscapes across Microscopic Tissue Sections.Current issues in molecular biology · 2024Article
- Article
- Machine learning extracts marks of thiamine's role in cold acclimation in the transcriptome ofFrontiers in plant science · 2023Article
- The Leipzig Health Atlas-An Open Platform to Present, Archive, and Share Biomedical Data, Analyses, and Models Online.Methods of information in medicine · 2022Article
- Classifying Germinal Center Derived Lymphomas-Navigate a Complex Transcriptional Landscape.Cancers · 2022Article
- Integrated Multi-Omics Maps of Lower-Grade Gliomas.Cancers · 2022Article
- Article
- Transcriptional states of CAR-T infusion relate to neurotoxicity - lessons from high-resolution single-cell SOM expression portraying.Frontiers in immunology · 2022Article
- The Evolving Faces of the SARS-CoV-2 Genome.Viruses · 2021Article
- High-Resolution Cartography of the Transcriptome and Methylome Landscapes of Diffuse Gliomas.Cancers · 2021Article
- Deciphering the Transcriptomic Heterogeneity of Duodenal Coeliac Disease Biopsies.International journal of molecular sciences · 2021Article
- Long Non-coding RNAs in Traumatic Brain Injury Accelerated Fracture Healing.Frontiers in surgery · 2021Article
Corrections and comments
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Authors and funding
5 authors.
Funding
Abstract
backgroundoposSOM is a comprehensive, machine learning based open-source data analysis software combining functionalities such as diversity analyses, biomarker selection, function mining, and visualization.
resultsThese functionalities are now available as interactive web-browser application for a broader user audience interested in extracting detailed information from high-throughput omics data sets pre-processed by oposSOM. It enables interactive browsing of single-gene and gene set profiles, of molecular 'portrait landscapes', of associated phenotype diversity, and signalling pathway activation patterns.
conclusionThe oposSOM-Browser makes available interactive data browsing for five transcriptome data sets of cancer (melanomas, B-cell lymphomas, gliomas) and of peripheral blood (sepsis and healthy individuals) at www.izbi.uni-leipzig.de/opossom-browser .
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.